MIS772 - Predictive Analytics
2023 unit information
|Enrolment modes:||Trimester 1: Burwood (Melbourne), Online
Trimester 2: Burwood (Melbourne), Online
MIS770 or MIS770A*
Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
|Scheduled learning activities - campus||
11 x 2 hour class + 11 x 1.5 hour computer lab
|Scheduled learning activities - cloud (online)||
11 x 2 hour class (livestreamed with recordings provided) + 11 x 1.5 hour online seminar/workshop
*Students who are either enrolled in or have completed MIS770A - please contact a student adviser firstname.lastname@example.org
The ‘information age’ has combined with the widespread adoption of digital technology to turn information into a key business asset. Businesses and governments now have access to massive volumes of data and require skills and expertise in making sense of this information for strategic decision making. This unit will provide students with the knowledge and skills to build predictive models and use data mining tools with ‘Big Data’. Students will be given the opportunity to gain hands-on experience with one of the most widely used predictive analytics software tools globally.
Hurdle requirement: Achieve at least 50% of the marks available on the end of unit assessment to evidence a minimum proficiency in the aligned discipline learning outcomes included in this unit.
Unit Fee Information
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